{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T18:24:53Z","timestamp":1785867893655,"version":"3.56.0"},"reference-count":25,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T00:00:00Z","timestamp":1785801600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003061","name":"Erasmus Medisch Centrum","doi-asserted-by":"publisher","award":["386070"],"award-info":[{"award-number":["386070"]}],"id":[{"id":"10.13039\/501100003061","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003061","name":"Erasmus Medisch Centrum","doi-asserted-by":"publisher","award":["115526"],"award-info":[{"award-number":["115526"]}],"id":[{"id":"10.13039\/501100003061","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosdigitalhealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Digit Health"],"abstract":"<jats:p>Arterial wall shear stress (WSS) plays an important role in atherosclerosis, but its assessment is often limited to small, retrospective studies due to technical and time constraints. This study aimed to evaluate the feasibility of WSS assessment in carotid arteries within the long-running, population-based Rotterdam Study. We developed a semi-automated computational fluid dynamics (CFD) pipeline, using deep-learning-based lumen segmentations of the carotid arteries from BlackBlood MRI and participant-specific common carotid blood flow from 3D phase-contrast MRA. Steady-state CFD simulations generated WSS profiles of the common and internal carotid arteries. Feasibility was evaluated by applying the pipeline to both carotid arteries in a sample of the Rotterdam Study, and reliability was assessed through inter- and intra-rater analyses. Simulations were successfully performed on both carotid arteries of 100 participants (mean age, 72.6 years\u2009\u00b1\u200910.6 [SD]; 49 female). Automated lumen segmentations showed good agreement with manual segmentations (Dice similarity coefficient 0.89\u2009\u00b1\u20090.02). Intra- and inter-rater reliability analyses\u00a0indicated good to excellent reliability of the pipeline, with intra-class correlation coefficients ranging from 0.89 to 0.98. This study demonstrates the feasibility of the CFD-based pipeline for large-scale carotid WSS assessment, integrating participant-specific carotid blood flow and automated segmentations. The reliability analyses underscore the reproducibility of the pipeline and highlight its potential for efficient, scalable carotid WSS analysis, making the pipeline suitable for application in large population-based and clinical studies.<\/jats:p>","DOI":"10.1371\/journal.pdig.0001618","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T17:22:21Z","timestamp":1785864141000},"page":"e0001618","update-policy":"https:\/\/doi.org\/10.1371\/journal.pdig.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["MRI-based shear stress profiles in subclinical carotid atherosclerosis \u2013 A feasibility study"],"prefix":"10.1371","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9776-6745","authenticated-orcid":true,"given":"Sanne C.M.","family":"van Kuijk","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernhard P.","family":"Berghout","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suze-Anne","family":"Korteland","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robin Y.R.","family":"Camarasa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6328-902X","authenticated-orcid":true,"given":"Marleen","family":"de Bruijne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Bos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5900-0425","authenticated-orcid":true,"given":"Ali C.","family":"Akyildiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Kamran","family":"Ikram","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jolanda J.","family":"Wentzel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,8,4]]},"reference":[{"issue":"41","key":"pdig.0001618.ref001","doi-asserted-by":"crossref","first-page":"3421","DOI":"10.1093\/eurheartj\/ehz551","article-title":"Expert recommendations on the assessment of wall shear stress in human coronary arteries: Existing methodologies, technical considerations, and clinical applications","volume":"40","author":"F Gijsen","year":"2019","journal-title":"Eur Heart J"},{"issue":"5","key":"pdig.0001618.ref002","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.jcct.2019.11.012","article-title":"Risk stratification of coronary plaques using physiologic characteristics by CCTA: Focus on shear stress","volume":"14","author":"H Samady","year":"2020","journal-title":"J Cardiovasc Comput Tomogr"},{"issue":"1","key":"pdig.0001618.ref003","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.jcmg.2020.07.034","article-title":"Wall shear stress and plaque vulnerability: Computational Fluid dynamics analysis derived from cCTA and OCT","volume":"14","author":"T Toba","year":"2021","journal-title":"JACC Cardiovasc Imaging"},{"issue":"12","key":"pdig.0001618.ref004","doi-asserted-by":"crossref","first-page":"1680","DOI":"10.1093\/ehjci\/jeab290","article-title":"Wall shear stress angle is associated with aortic growth in bicuspid aortic valve patients","volume":"23","author":"SCS Minderhoud","year":"2022","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"1","key":"pdig.0001618.ref005","doi-asserted-by":"crossref","first-page":"15128","DOI":"10.1038\/s41598-022-19347-6","article-title":"The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta","volume":"12","author":"M Cherry","year":"2022","journal-title":"Sci Rep"},{"key":"pdig.0001618.ref006","doi-asserted-by":"crossref","first-page":"1083547","DOI":"10.3389\/fcvm.2023.1083547","article-title":"Wall shear stress and its role in atherosclerosis","volume":"10","author":"M Zhou","year":"2023","journal-title":"Front Cardiovasc Med"},{"issue":"3","key":"pdig.0001618.ref007","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s10439-013-0930-3","article-title":"Accuracy of computational cerebral aneurysm hemodynamics using patient-specific endovascular measurements","volume":"42","author":"PM McGah","year":"2014","journal-title":"Ann Biomed Eng"},{"issue":"2","key":"pdig.0001618.ref008","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s10654-023-01094-1","article-title":"The Rotterdam Study. 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